Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
Explores the integration of brain structure and function using Graph Signal Processing techniques, including functional MRI and structural connectome analysis.
By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Explores neurobiological signal processing, covering spike modeling, signal classification, and data characterization using principal component analysis.
Explores the network effects of deep brain stimulation beyond the basal ganglia, focusing on optimal connectivity and the role of brain oscillations in PD motor symptoms.
Focuses on the development of 'eSee-Shells', chronic multimodal neural interface devices using transparent, inkjet-printed electrocorticography (ECoG) arrays.
Explores how slow cortical oscillations in the frontal cortex coordinate brain networks and impact memory processes, with a focus on cognitive control and healthy aging.